Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1508364347801686630EF46CFE273798E2284EBCAD95619D9C6F04724A9F7C61FED12D8 |
|
CONTENT
ssdeep
|
384:6Wlc2WqqbV/GT50ZB7E75CzzeP4a7a3pGHa7a3pGda7a3pGga7a3pGka1ca7a3p5:T+zzew+C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfc4196237486d33 |
|
VISUAL
aHash
|
00ffdbffe7818f87 |
|
VISUAL
dHash
|
421433374d2b3b19 |
|
VISUAL
wHash
|
00ffdba5a5818f83 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
481433074d2b3b39,00000040c0d04040,9b0f0f66274f0f1f,c0c3e63c38988ccc,e0f0e50a170c3cf2,1c9ebe2e70f8daf8,1769696979494971 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 961 techniques to evade detection by security scanners and make reverse engineering more difficult.